A study specific template for comparison of CBF data across rats was generated using the 2D RARE data. Data were converted to nifti, brain extracted [19 (link), 20 ] for input into a multivariate template construction script [21 (link), 22 (link)]. CBF maps were generated with Bruker Paravision software, converted to nifti format and then normalized to the average CBF of the contralateral cortical grey matter. Image co-registration transformation and warp parameters obtained from generating the template were applied to the subject-level CBF data for mapping into a common space. CBF maps were normalized to the average value within the contralesional grey matter cortex and values reported as relative CBF. Brain regions with CBF deficits were defined as voxels with CBF less than 50% of contralateral grey matter.
Protocol detail
Cerebral Blood Flow Mapping in Rats
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Corresponding Organization : University of California, Los Angeles
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Variable analysis
independent variables
- None explicitly mentioned
- Cerebral blood flow (CBF) maps
- Brain extraction using published methods [19, 20]
- Normalization of CBF maps to the average CBF of the contralateral cortical grey matter
- Application of image co-registration transformation and warp parameters obtained from generating the template to the subject-level CBF data for mapping into a common space
- Defining brain regions with CBF deficits as voxels with CBF less than 50% of contralateral grey matter
- Positive control: None mentioned
- Negative control: None mentioned
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